CLC number: TM911
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Received: 2006-04-20
Revision Accepted: 2006-08-21
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WANG Rui-min, CAO Guang-yi, ZHU Xin-jian. New hybrid model of proton exchange membrane fuel cell[J]. Journal of Zhejiang University Science A, 2007, 8(5): 741-747.
@article{title="New hybrid model of proton exchange membrane fuel cell",
author="WANG Rui-min, CAO Guang-yi, ZHU Xin-jian",
journal="Journal of Zhejiang University Science A",
volume="8",
number="5",
pages="741-747",
year="2007",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2007.A0741"
}
%0 Journal Article
%T New hybrid model of proton exchange membrane fuel cell
%A WANG Rui-min
%A CAO Guang-yi
%A ZHU Xin-jian
%J Journal of Zhejiang University SCIENCE A
%V 8
%N 5
%P 741-747
%@ 1673-565X
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A0741
TY - JOUR
T1 - New hybrid model of proton exchange membrane fuel cell
A1 - WANG Rui-min
A1 - CAO Guang-yi
A1 - ZHU Xin-jian
J0 - Journal of Zhejiang University Science A
VL - 8
IS - 5
SP - 741
EP - 747
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2007.A0741
Abstract: Model and simulation are good tools for design optimization of fuel cell systems. This paper proposes a new hybrid model of proton exchange membrane fuel cell (PEMFC). The hybrid model includes physical component and black-box component. The physical component represents the well-known part of PEMFC, while artificial neural network (ANN) component estimates the poorly known part of PEMFC. The ANN model can compensate the performance of the physical model. This hybrid model is implemented on Matlab/Simulink software. The hybrid model shows better accuracy than that of the physical model and ANN model. Simulation results suggest that the hybrid model can be used as a suitable and accurate model for PEMFC.
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